myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection

Ahn, Junho; Han, Richard

doi:10.3390/s16050753

Cited by 3 publications

(6 citation statements)

References 20 publications

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“…Another finding suggests using of smartphone sensors joint fusion network by implementing and evaluating end-to-end systems of android smartphones with cloud servers (Ahn & Han 2016). Mentioning this find suggests using hybrid architectural design of unused smartphone sensors to achieve high accuracy, customization and convenience (Ahn & Han 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Thus we have possible ways to stop those kinds of incidents if we somehow make this system practical. As I have already stated, the CIFDR is in its high stage of development and going several associated challenges are being solved with the help of researchers currently working in this field through different means and medium of integrated sensors (Ahn & Han 2016). This system will provide us the real data, and our future vehicles, either aerial or terrestrial vehicles will be more safety-bearing standards than the current basis.…”

Section: Discussionmentioning

confidence: 99%

“…Installation of two Blackboxes in the aircraft was suggested to increase the probability of a Blackbox being discovered after the accident (Ahn & Han 2016). It was suggested to install two Blackboxes with protected memory to record flight data.…”

Section: Other Ways To Record the Flight Datamentioning

confidence: 99%

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A Broad Perspective on Cloud Integrated Flight Data Recorder

Chaudhary

Singh

Sharma

2022

Nepal Journal of Science and Technology

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The history of air traffic, whether its about the safety or the qualitative inspection of the several sensors and interconnected mechanical parts, is well known. Hence, the efforts applied through the research and analysis of several engineers profoundly made the air traffic investigation safer and more comfortable. As a result,the flight investigation of whether the lost aircraft or the airplane’s found wreckage has become more secure and convenient than in the Past. The use of light and advanced materials, the development of excellent communication equipment, and the rapid development of the aviation sector have played a crucial role in increasing its safety and reach to the general public, and so do the several challenges associated with the aviation sector. As a result, there has been much research regarding the air traffic investigation with the help of advanced sensor and better software that can simulate and even predict the dangers provided by several parameters helping in the investigation and exploring better sides of safety. The accident can be prevented with the help of improvements provided based on accurate analysis of previous air accidents. In modern aircraft, there is a device called the Black Box which helps analyze and investigate. For example, after Malaysian flight MH370’s disappearance, the airline again felt to upgrade the black box to a new working standard of the cloud-based technology. Currently, there are many cloud storage services worldwide such as GOOGLE, APPLE, AMAZON, MICROSOFT etc. After this accident and similar previous aircraft disappearances from different parts of the world, researchers finally decided to test steaming to nearby air traffic services and storing flight data in remote cloud storage. This study attempts to compile the worldwide efforts in the cloud-integrated flight data recorder (CIFDR) field. This research primarily focuses on different ways of storing data on cloud-based technology. The different trend worldwide approaches and different means applied to test this system without hindering the associated safety of the data going through encryption and decryption. Recently there has been a proliferation of internet facilities in flight. Although it is still in its infancy phase, the flight data can be sent to remote servers by improving this technique. Many challenges in transmitting flight data in real-time need to be overcome before commercializing this technique.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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A Broad Perspective on Cloud Integrated Flight Data Recorder

Chaudhary

Singh

Sharma

2022

Nepal Journal of Science and Technology

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“…Fusing various algorithms results in an efficiency that is higher than the accuracy of each algorithm alone, and the study conducted by Ahn et al [25] achieved a stable and satisfactory performance for a bagging-based reinforcement algorithm. Furthermore, Delgado et al [26] demonstrated that the random forest algorithm exhibited the best performance among bagging-based algorithms.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles

2020

KSII TIIS

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Due to the significant increase in the use of autonomous car technology, it is essential to integrate this technology with high-precision digital map data containing more precise and accurate roadway information, as compared to existing conventional map resources, to ensure the safety of self-driving operations. While existing map technologies may assist vehicles in identifying their locations via Global Positioning System, it is however difficult to update the environmental changes of roadways in these maps. Roadway vision algorithms can be useful for building autonomous vehicles that can avoid accidents and detect real-time location changes. We incorporate a hybrid architectural design that combines unsupervised classification of vision data with supervised joint fusion classification to achieve a better noise-resistant algorithm. We identify, via a deep learning approach, an intelligent hybrid fusion algorithm for fusing multimodal vision feature data for roadway classifications and characterize its improvement in accuracy over unsupervised identifications using image processing and supervised vision classifiers. We analyzed over 93,000 vision frame data collected from a test vehicle in real roadways. The performance indicators of the proposed 3956 Jung et al.: Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles hybrid fusion algorithm are successfully evaluated for the generation of roadway digital maps for autonomous vehicles, with a recall of 0.94, precision of 0.96, and accuracy of 0.92.

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“…Additionally, the locations are embedded into the photos for remembrance. Then, these location-embedded data will be published in the mobile cloud automatically [1,2,6], such as iCloud, Samsung cloud, etc. These location-embedded data bring great convenience for cloud service providers (CSP) to provide location-based services (LBS) for users [3,7].…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data

Xie

Wang

2016

Sensors

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With the wide use of mobile sensing application, more and more location-embedded data are collected and stored in mobile clouds, such as iCloud, Samsung cloud, etc. Using these data, the cloud service provider (CSP) can provide location-based service (LBS) for users. However, the mobile cloud is untrustworthy. The privacy concerns force the sensitive locations to be stored on the mobile cloud in an encrypted form. However, this brings a great challenge to utilize these data to provide efficient LBS. To solve this problem, we propose a privacy-preserving LBS scheme for mobile sensing data, based on the RSA (for Rivest, Shamir and Adleman) algorithm and ciphertext policy attribute-based encryption (CP-ABE) scheme. The mobile cloud can perform location distance computing and comparison efficiently for authorized users, without location privacy leakage. In the end, theoretical security analysis and experimental evaluation demonstrate that our scheme is secure against the chosen plaintext attack (CPA) and efficient enough for practical applications in terms of user side computation overhead.

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myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection

Cited by 3 publications

References 20 publications

A Broad Perspective on Cloud Integrated Flight Data Recorder

A Broad Perspective on Cloud Integrated Flight Data Recorder

Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles

Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data

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